As with any investment, your capital is at risk.
What would you have invested in at the beginning of the PC era in 1977? Or at the beginning of the internet or smartphone eras? These are helpful thought experiments in times of significant technological change.
At the risk of hyperbole, this year’s breakthroughs in Artificial Intelligence (AI) suggest we could be at the start of another computing paradigm akin to the PC, internet or smartphone.
We have been commenting on the progress in AI for some time, and we remain deeply curious about it.
The most noteworthy recent breakthrough has been the success of OpenAI in making AI technology available to non-technical users with the release of ChatGPT. The service signed up a hundred million users in just two months as engineers and entrepreneurs recognised the potential of this computational approach.
AI can augment human software programmers and enhance productivity, and we can expect AI services to write most computer code in the future. The implications of AI-generated student essays are less encouraging and only a minor example of the governance challenges these systems will create.
AI will transform many parts of the economy. But it would be foolhardy to make specific predictions. Therefore, we have time to study and learn as companies incorporate the technology into their products and services.
It is likely most companies will tell us that AI is good for them, but they won’t all be correct. At the same time, it will substantially increase the value of the service other companies can provide.
Amid the AI hype, patience and a long-term mindset are key in deciphering signals from the noise.
We can confidently say that AI systems will require a lot of silicon. OpenAI has suggested that the computing power needed to run the latest models doubles every 14 weeks.
Our holding NVIDIA is a key supplier and enjoys formidable advantages, as the chip technology it has built over decades for computer games has proven ideally suited for AI computation. Around 90 per cent of generative AI programmes are trained using NVIDIA chips.
The semiconductor industry depends on another of our holdings, ASML. Its exceptional engineering produces cutting-edge chips, and AI is just one driver of the strong demand we anticipate over the next decade.
In the great AI gold rush, beyond the ‘picks and shovels’ makers of NVIDIA and ASML, Scottish Mortgage is exposed to diverse companies across the AI value chain (see graphic).
These include Amazon Web Services, on whose cloud much of AI computing is done, and cloud services and enterprise solutions that operate on top of the cloud, such as Cloudflare and Snowflake.
Many industry solutions already use AI, such as Aurora Innovation (autonomous driving), Horizon Robotics (AI solutions), Recursion Pharmaceuticals (drug discovery) and Tempus Labs (cancer treatment).
Consumer-facing services such as ByteDance (owner of TikTok) and the digital marketing and metaverse companies we hold, such as Roblox, are also experimenting with AI.
We also have small holdings in venture funds WI Harper and Arch Ventures, which invest in companies developing AI technology.
And it may surprise some to learn that Tesla is currently one of the largest AI companies in the world. This year, it rolled out initial access to its full self-driving software in the US.
The software has now driven 150 million autonomous miles, providing a vast data advantage over the rest of the automotive industry. The system’s capability is already impressive, but the pace of improvement will be most important over time.
New vehicle sales will face headwinds from higher interest rates in the short run. Still, electric vehicles continue to gain share and Tesla, as the market leader, has the scale and profitability to invest and grow in challenging conditions.
In the long run, its software and AI capabilities will be deployed to a much more extensive fleet of vehicles, and others will struggle to compete.
We first invested in ASML in 1996, Amazon in 2003, Tesla in 2013 and NVIDIA in 2016. In short, we’ve been thinking about this for a long time.
And not on our own; some of the best minds from industry and academia have helped shape our thinking.
We continue to engage with the computer scientists driving the industry, from Geoffrey Hinton, one of the godfathers of AI and ex-Google, Kai Yu of Horizon Robotics and Emad Mostaque (Stability AI) to Sam Altman (OpenAI) and Jensen Huang (NVIDIA).
There is a Baillie Gifford Chair in AI Ethics at the Edinburgh Futures Institute. And we are sponsoring the programme director role on Responsible Artificial Intelligence at the Leverhulme Centre for the Future of Intelligence, University of Cambridge.
AI and machine learning are penetrating multiple industries, from commerce and healthcare to finance and transport. As we have said, any company not leveraging advances in software, machine learning, and AI will experience significant headwinds to growth.
While we are wary of making any firm predictions of how AI might transform society, what is almost guaranteed is that companies, tools and services will be built using this technology that will exceed our wildest imagination.
Our access to some of the leading minds working on this, in both the public and private space, helps us keep up to speed with developments and understand how they may impact our lives. We will continue to patiently seek opportunities to invest in this progress on our shareholders’ behalf.
Ben James is a portfolio director serving Scottish Mortgage’s shareholder base. Ben joined the Scottish Mortgage team in 2023 and has worked with Tom Slater as the US equity investment specialist at Baillie Gifford since 2015. A former soldier, he developed a passion for the power of investment to drive progress during his overseas deployments. Ben works closely with the managers, meeting with portfolio companies and conducting in-depth portfolio discussions with shareholders. Alongside this, he creates engaging content that makes the Scottish Mortgage portfolio accessible to all its shareholders.
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